What would you tell a leader who has reservations about using qualitative information?

• A. Qualitative data can answer the 'why' and 'how' questions much better than quantitative data
• B. Qualitative data is always biased and unusable
• C. Qualitative data is too slow to be useful
• D. Qualitative data should replace all existing evidence immediately

Answer: (A)

The main idea is that qualitative information adds depth to understanding by explaining why things happen and how people experience processes, not just what happened in numbers. If a leader is wary of qualitative data, you can help by showing that it reveals motivations, meanings, and context behind observed outcomes. While numbers show trends or magnitudes, qualitative insights illuminate the reasons behind those trends and the steps leading up to them. This makes it possible to address concerns, tailor interventions, and anticipate how people will respond to changes.

Qualitative data can answer why a policy works or doesn’t, and how people experience changes in real time. It helps uncover barriers, incentives, and unintended consequences that quantitative measures might miss. When used alongside quantitative data, qualitative information provides a fuller, more actionable picture—numbers tell you what happened, while qualitative input helps explain why and how it happened.

The other statements miss the point because they treat qualitative data as inherently flawed or as a replacement for all evidence. It’s not inherently biased or unusable; when collected and analyzed properly, it yields credible, richly contextual insights. It isn’t inherently slow either; with clear questions, focused methods (like targeted interviews or focused groups), and efficient analysis, qualitative work can be timely. And it shouldn’t replace all evidence; it complements quantitative data to create a more complete understanding.